class_docstr: CMATERdb dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      # Download the CMATERdb dataset by mentioned numeral
      train_path, test_path = dl_manager.download(
          [
              _CMATERDB_TRAINING_URL.format(
                  type=self.builder_config.name
              ),
              _CMATERDB_TESTING_URL.format(
                  type=self.builder_config.name
              ),
          ]
      )
  
      # CMATERdb (mirrored) provides TRAIN and TEST splits,
      # not a VALIDATION split, so we only
      # write the TRAIN and TEST splits to disk.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs=dict(data_path=train_path),
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs=dict(data_path=test_path),
          ),
      ]
  
file_path: datasets/tensorflow_datasets/image_classification/cmaterdb.py
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Cmaterdb obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list